PROFESSIONAL-CLOUD-DEVELOPER Real Exam Questions
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Certification Overview
This exam tests end-to-end application development and deployment on Google Cloud, emphasizing containerized workloads on Cloud Run and GKE, automated CI/CD pipelines via Cloud Build, event-driven architectures using Pub/Sub, and secure identity management with service accounts. The focus is on building scalable, resilient, production-ready applications rather than infrastructure administration.
What This Certification Proves
This certification validates expertise in designing, building, and deploying cloud-native applications on Google Cloud Platform. It demonstrates proficiency in containerization, CI/CD pipelines, and modern deployment strategies—essential skills for developers moving to cloud-first architectures.
Who Should Take This Exam
Mid-level to senior developers with 2+ years of GCP experience seeking to validate cloud-native development skills. Ideal for those working with microservices, containers, and automated deployment pipelines.
Topic Breakdown
193 domains covering 346 questions
| Domain | Questions | Weight |
|---|---|---|
| Deploying Applications | 34 | 10% |
| Building And Testing Applications | 12 | 3% |
| Integrating Google Cloud Services | 10 | 3% |
| Implementing Data Storage Solutions | 9 | 3% |
| Monitoring, Logging, And Troubleshooting Applications | 8 | 2% |
| Developing And Deploying Applications | 7 | 2% |
| Designing And Implementing Data Storage Solutions | 7 | 2% |
| Implementing Security For Applications | 7 | 2% |
| Optimizing Application Performance | 7 | 2% |
| Building And Deploying Applications | 6 | 2% |
| Monitoring, Logging, And Debugging Applications | 6 | 2% |
| Implementing Ci/Cd Pipelines | 6 | 2% |
| Implementing Security | 6 | 2% |
| Implementing Application Security | 5 | 1% |
| Managing Application Security | 5 | 1% |
| Monitoring, Logging, And Troubleshooting | 4 | 1% |
| Securing Applications | 4 | 1% |
| Deploying And Managing Applications | 3 | 1% |
| Monitoring And Troubleshooting Applications | 3 | 1% |
| Deploying And Managing Applications On Gke | 3 | 1% |
| Managing Api Access And Security | 3 | 1% |
| Optimizing Application Performance And Scalability | 2 | 1% |
| Deploying Containerized Applications | 2 | 1% |
| Implementing Secure Deployment Strategies | 2 | 1% |
| Manage Application Security | 2 | 1% |
| Implementing Security And Compliance | 2 | 1% |
| Implementing Observability | 2 | 1% |
| Monitoring, Logging, And Troubleshooting Solutions | 2 | 1% |
| Designing And Implementing Data Processing Solutions | 2 | 1% |
| Implementing Api Security | 2 | 1% |
| Integrate Google Cloud Services | 2 | 1% |
| Managing Application Infrastructure | 2 | 1% |
| Managing Application Performance | 2 | 1% |
| Developing And Testing Applications | 2 | 1% |
| Implementing Deployment Strategies | 2 | 1% |
| Developing Secure Applications | 2 | 1% |
| Troubleshooting And Debugging Applications | 2 | 1% |
| Designing And Building Cloud-Native Applications | 2 | 1% |
| Monitoring, Logging, And Debugging | 2 | 1% |
| Optimizing Application Performance And Cost | 2 | 1% |
| Designing Event-Driven Solutions | 1 | 0% |
| Designing For Application Reliability | 1 | 0% |
| Designing Scalable And Cost-Effective Solutions | 1 | 0% |
| Designing Storage Solutions | 1 | 0% |
| Develop And Deploy Secure Solutions | 1 | 0% |
| Develop Secure Applications | 1 | 0% |
| Developing Applications | 1 | 0% |
| Developing Applications With Cloud Datastore | 1 | 0% |
| Developing Applications With Google Cloud Databases | 1 | 0% |
| Developing Scalable And Resilient Applications | 1 | 0% |
| Developing, Deploying, And Debugging Applications | 1 | 0% |
| Developing, Deploying, And Securing Apis | 1 | 0% |
| Ensuring Application Security | 1 | 0% |
| Ensuring Reliability And Resilience Of Applications | 1 | 0% |
| Ensuring Solution Reliability And Security | 1 | 0% |
| Ensuring Solution Security And Compliance | 1 | 0% |
| Exposing Applications On Google Kubernetes Engine | 1 | 0% |
| Gke Resource And Access Management | 1 | 0% |
| Implement Api Solutions | 1 | 0% |
| Implement Ci/Cd Pipelines | 1 | 0% |
| Implement Logging, Monitoring, And Alerting | 1 | 0% |
| Implement Secure Application Deployment Practices | 1 | 0% |
| Implementing And Deploying Applications | 1 | 0% |
| Implementing And Managing Application Connectivity | 1 | 0% |
| Implementing And Managing Cloud Infrastructure | 1 | 0% |
| Implementing And Managing Monitoring, Logging, And Alerting | 1 | 0% |
| Implementing And Managing Security | 1 | 0% |
| Implementing And Testing Applications | 1 | 0% |
| Implementing Application Deployment Strategies | 1 | 0% |
| Implementing Application Resilience And Error Handling | 1 | 0% |
| Implementing Asynchronous Processes | 1 | 0% |
| Implementing Authentication And Authorization | 1 | 0% |
| Implementing Bigquery For Data Processing | 1 | 0% |
| Implementing Ci/Cd | 1 | 0% |
| Implementing Ci/Cd And Devops Practices | 1 | 0% |
| Implementing Ci/Cd And Testing Strategies | 1 | 0% |
| Implementing Cloud Databases | 1 | 0% |
| Implementing Compliance Policies | 1 | 0% |
| Implementing Compute Solutions | 1 | 0% |
| Implementing Data Access And Security | 1 | 0% |
| Implementing Data Ingestion And Processing | 1 | 0% |
| Implementing Data Persistence | 1 | 0% |
| Implementing Data Processing Solutions | 1 | 0% |
| Implementing Deployment Strategies For Compute Engine | 1 | 0% |
| Implementing Event-Driven Serverless Processing | 1 | 0% |
| Implementing Logging And Monitoring For Applications | 1 | 0% |
| Implementing Logging And Monitoring Solutions | 1 | 0% |
| Implementing Messaging Solutions With Pub/Sub | 1 | 0% |
| Implementing Monitoring, Logging, And Troubleshooting | 1 | 0% |
| Implementing Resilient Applications | 1 | 0% |
| Implementing Resilient Cloud Solutions | 1 | 0% |
| Implementing Scalable And Resilient Applications | 1 | 0% |
| Implementing Secure Application Access | 1 | 0% |
| Implementing Secure Application Design | 1 | 0% |
| Implementing Security For Microservices On Gke | 1 | 0% |
| Implementing, Testing, And Deploying Solutions | 1 | 0% |
| Integrating Applications With Google Cloud Services | 1 | 0% |
| Integrating Gcp Services | 1 | 0% |
| Integrating Google Cloud Services With Applications | 1 | 0% |
| Integrating Google Cloud Services With Existing Systems | 1 | 0% |
| Integrating Services And Apis | 1 | 0% |
| Integrating With Cloud Services | 1 | 0% |
| Manage Application Reliability | 1 | 0% |
| Managing And Monitoring Cloud-Native Applications | 1 | 0% |
| Managing And Optimizing Bigquery Resources | 1 | 0% |
| Managing And Securing Cloud-Native Applications | 1 | 0% |
| Managing And Troubleshooting Cloud Run Services | 1 | 0% |
| Managing Api And Service Security | 1 | 0% |
| Managing Api Infrastructure | 1 | 0% |
| Managing Api Traffic | 1 | 0% |
| Managing Apis And Microservices | 1 | 0% |
| Managing Apis And Security For Applications | 1 | 0% |
| Managing Application Access And Identity | 1 | 0% |
| Managing Application Data | 1 | 0% |
| Managing Application Data On Gke | 1 | 0% |
| Managing Application Deployments And Lifecycle On Gke | 1 | 0% |
| Managing Application Deployments And Security | 1 | 0% |
| Managing Application Development And Deployment Pipelines | 1 | 0% |
| Managing Application Identity And Access | 1 | 0% |
| Managing Application Performance And Cost | 1 | 0% |
| Managing Application Performance And Reliability | 1 | 0% |
| Managing Application Performance And Scalability On Gke | 1 | 0% |
| Managing Application Performance And Troubleshooting | 1 | 0% |
| Managing Application Resources And Infrastructure | 1 | 0% |
| Managing Cloud-Native Applications | 1 | 0% |
| Managing Identity And Access | 1 | 0% |
| Managing Release Processes And Deployment Strategies | 1 | 0% |
| Managing Source Code | 1 | 0% |
| Monitoring And Alerting | 1 | 0% |
| Monitoring And Logging Applications | 1 | 0% |
| Monitoring And Management Of Gke Clusters | 1 | 0% |
| Monitoring And Reliability | 1 | 0% |
| Monitoring, Logging, And Testing | 1 | 0% |
| Monitoring, Logging, And Troubleshooting A Cloud Solution | 1 | 0% |
| Operating And Monitoring Applications | 1 | 0% |
| Operating And Troubleshooting Gke Applications | 1 | 0% |
| Operating Google Cloud Services | 1 | 0% |
| Optimizing Cloud Spanner Database Performance | 1 | 0% |
| Optimizing Cloud-Native Applications | 1 | 0% |
| Optimizing Compute Engine Performance | 1 | 0% |
| Optimizing Performance | 1 | 0% |
| Secure And Consistent Developer Environments | 1 | 0% |
| Securing Applications And Services | 1 | 0% |
| Securing Containerized Applications | 1 | 0% |
| Securing Data And Applications | 1 | 0% |
| Securing Kubernetes Engine Deployments | 1 | 0% |
| Security And Compliance | 1 | 0% |
| Service Networking And Traffic Management | 1 | 0% |
| Setting Up A Cloud Development Environment | 1 | 0% |
| Storing Data | 1 | 0% |
| Troubleshooting And Optimizing Application Performance | 1 | 0% |
| Troubleshooting Compute Engine Instances | 1 | 0% |
| Api Configuration And Deployment | 1 | 0% |
| Working With Data Storage And Databases | 1 | 0% |
| Api Management And Security | 1 | 0% |
| Application Deployment | 1 | 0% |
| Application Deployment And Integration | 1 | 0% |
| Application Deployment And Scaling | 1 | 0% |
| Application Deployment Strategies | 1 | 0% |
| Application Development On Google Cloud | 1 | 0% |
| Bigquery Data Ingestion | 1 | 0% |
| Build And Test Applications | 1 | 0% |
| Building And Implementing Cloud-Native Applications | 1 | 0% |
| Building And Operating Data Solutions | 1 | 0% |
| Building Cloud-Native Applications | 1 | 0% |
| Building Resilient Applications | 1 | 0% |
| Configuring Compute Engine Instances And Deployments | 1 | 0% |
| Configuring Development Environments For Gke | 1 | 0% |
| Data Processing And Integration | 1 | 0% |
| Data Storage And Analytics | 1 | 0% |
| Debugging And Performance Optimization | 1 | 0% |
| Debugging And Troubleshooting Application Issues | 1 | 0% |
| Debugging, Monitoring, And Optimizing Applications | 1 | 0% |
| Deploying And Configuring Applications | 1 | 0% |
| Deploying And Managing Compute Engine Resources | 1 | 0% |
| Deploying Applications On Google Kubernetes Engine | 1 | 0% |
| Deploying Applications To Kubernetes | 1 | 0% |
| Deployment Strategies | 1 | 0% |
| Designing And Architecting Cloud-Native Applications | 1 | 0% |
| Designing And Building Application Components And Services | 1 | 0% |
| Designing And Building Applications | 1 | 0% |
| Designing And Building Cloud Applications | 1 | 0% |
| Designing And Building Scalable And Resilient Applications | 1 | 0% |
| Designing And Developing Cloud-Native Applications | 1 | 0% |
| Designing And Implementing Apis | 1 | 0% |
| Designing And Implementing Application Data Storage | 1 | 0% |
| Designing And Implementing Cloud-Native Applications | 1 | 0% |
| Designing And Implementing Microservices Architectures | 1 | 0% |
| Designing And Implementing Microservices On Gcp | 1 | 0% |
| Designing And Implementing Scalable Cloud Solutions | 1 | 0% |
| Designing And Implementing Serverless Applications | 1 | 0% |
| Designing And Optimizing Data Access Strategies | 1 | 0% |
| Designing Bigtable Schemas | 1 | 0% |
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Deploying Applications
- Read Google official documentation
- Complete 14 questions daily
Week 3
- Deep dive: Building And Testing Applications
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Deploying Applications
- Focus: Building And Testing Applications
- 7 questions daily
Week 5-6
- Focus: Integrating Google Cloud Services
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 392 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 5 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 392 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
PROFESSIONAL-CLOUD-DEVELOPER-Specific Tips
- Master Cloud Run's deployment models and autoscaling—expect multiple scenario-based questions on containerless app deployments.
- Deep dive into GKE workload management: StatefulSets, Deployments, Jobs, and custom resource definitions (CRDs) are heavily tested.
- Practice CI/CD pipeline design with Cloud Build—focus on build triggers, custom builders, and multi-stage deployments with testing gates.
- Understand IAM service accounts for application authentication—this crosses multiple domains and appears in deployment, Pub/Sub, and security contexts.
- Work through Pub/Sub message ordering, exactly-once delivery semantics, and dead-letter queues with real hands-on labs.
- Study deployment strategies (blue-green, canary) with traffic splitting on Cloud Run and GKE using traffic management tools.
- Review Cloud Storage integration patterns—access patterns, signed URLs, event notifications triggering Cloud Build and Cloud Functions.
Relevant Career Roles
Sample Questions
Try 5 free questions from the PROFESSIONAL-CLOUD-DEVELOPER question bank
You are building a new API. You want to minimize the cost of storing and reduce the latency of serving images. Which architecture should you use?
Your security team is auditing all deployed applications running in Google Kubernetes Engine. After completing the audit, your team discovers that some of the applications send traffic within the cluster in clear text. You need to ensure that all application traffic is encrypted as quickly as possible while minimizing changes to your applications and maintaining support from Google. What should you do?
You have an application running in production on Cloud Run. Your team needs to change one of the application's services to return a new field. You want to test the new revision on 10% of your clients using the least amount of effort. What should you do to keep your service backward compatible?
You are developing a discussion portal that is built on Cloud Run. Incoming external requests are routed through a set of microservices before a response is sent. Some of these microservices connect to databases. You need to run a load test to identify any bottlenecks in the application when it is under load. You want to follow Google-recommended practices. What should you do?
Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible. What should you do?
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